---
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# calculator_model_test

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0408

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1232        | 1.0   | 5    | 2.3752          |
| 2.1776        | 2.0   | 10   | 1.8879          |
| 1.7349        | 3.0   | 15   | 1.4779          |
| 1.3722        | 4.0   | 20   | 1.2288          |
| 1.1464        | 5.0   | 25   | 1.0354          |
| 0.995         | 6.0   | 30   | 0.9079          |
| 0.8838        | 7.0   | 35   | 0.8040          |
| 0.7827        | 8.0   | 40   | 0.7075          |
| 0.7079        | 9.0   | 45   | 0.6453          |
| 0.6523        | 10.0  | 50   | 0.5931          |
| 0.6042        | 11.0  | 55   | 0.5485          |
| 0.5548        | 12.0  | 60   | 0.5170          |
| 0.5339        | 13.0  | 65   | 0.5695          |
| 0.5492        | 14.0  | 70   | 0.4823          |
| 0.4951        | 15.0  | 75   | 0.4626          |
| 0.464         | 16.0  | 80   | 0.4308          |
| 0.4377        | 17.0  | 85   | 0.3924          |
| 0.4059        | 18.0  | 90   | 0.3690          |
| 0.3782        | 19.0  | 95   | 0.3322          |
| 0.3458        | 20.0  | 100  | 0.3135          |
| 0.3307        | 21.0  | 105  | 0.2936          |
| 0.2999        | 22.0  | 110  | 0.2577          |
| 0.2739        | 23.0  | 115  | 0.2444          |
| 0.2461        | 24.0  | 120  | 0.2236          |
| 0.2264        | 25.0  | 125  | 0.1957          |
| 0.2046        | 26.0  | 130  | 0.1637          |
| 0.1819        | 27.0  | 135  | 0.1415          |
| 0.16          | 28.0  | 140  | 0.1238          |
| 0.1454        | 29.0  | 145  | 0.1092          |
| 0.1297        | 30.0  | 150  | 0.0997          |
| 0.1188        | 31.0  | 155  | 0.0876          |
| 0.1105        | 32.0  | 160  | 0.0897          |
| 0.1033        | 33.0  | 165  | 0.0779          |
| 0.0941        | 34.0  | 170  | 0.0702          |
| 0.0897        | 35.0  | 175  | 0.0656          |
| 0.085         | 36.0  | 180  | 0.0634          |
| 0.0796        | 37.0  | 185  | 0.0596          |
| 0.0768        | 38.0  | 190  | 0.0560          |
| 0.0728        | 39.0  | 195  | 0.0556          |
| 0.0702        | 40.0  | 200  | 0.0516          |
| 0.0662        | 41.0  | 205  | 0.0493          |
| 0.063         | 42.0  | 210  | 0.0472          |
| 0.0613        | 43.0  | 215  | 0.0459          |
| 0.0617        | 44.0  | 220  | 0.0449          |
| 0.0579        | 45.0  | 225  | 0.0425          |
| 0.0556        | 46.0  | 230  | 0.0428          |
| 0.0555        | 47.0  | 235  | 0.0413          |
| 0.0536        | 48.0  | 240  | 0.0409          |
| 0.053         | 49.0  | 245  | 0.0409          |
| 0.0532        | 50.0  | 250  | 0.0408          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2